Suppr超能文献

基于无机/有机杂化纳米粒子(MSN@COF)的多孔纳米复合支架去除重金属的研究

Study of Heavy Metal Removal with Porous Nanocomposite Scaffolds based on Hybrid Inorganic/Organic Nanoparticles (MSN@COF).

作者信息

Rezaii Ebrahim, Mahkam Mehrdad, Rezaii Mohammad

机构信息

Chemistry Department, Faculty of Science, Azarbaijan Shahid Madani University, Tabriz, Iran.

Educational Sciences Department, Faculty of Science, Farhangian University, Tabriz, Iran.

出版信息

Curr Org Synth. 2025;22(3):383-395. doi: 10.2174/0115701794314387240604112621.

Abstract

INTRODUCTION

Hybrid inorganic/organic nanoparticles are used to make nanocomposites. These nanocomposites combine the different properties of the organic polymer and the inorganic nanoparticles, which improves the overall system properties.

METHODS

In this research work, Mesoporous Silica Nanoparticle (MSN), amino-functionalized MSNs, and Covalent Organic Frameworks (COFs) were synthesized using a special approach. In this work, in order to take advantage of the properties and characteristics of both porous nanomaterials and porous nanocomposites of COF-grown MSN were synthesized by a special method and with two approaches, and the porosity of the nanocomposites and synthesized nanomaterials was analyzed by BET analysis.

RESULTS

The synthesis of the products was confirmed by XRD, TGA, EDS, FT-IR, FE-SEM, TEM, and Zeta potential analyses. The heavy metals zinc and cadmium were removed using these nanomaterials as an inorganic/organic hybrid adsorbent in the following, and various absorption properties were examined in these nanoabsorbents.

CONCLUSION

The removal of heavy metals from these hybrid nanoabsorbents is particularly effective.

摘要

引言

无机/有机杂化纳米粒子用于制备纳米复合材料。这些纳米复合材料结合了有机聚合物和无机纳米粒子的不同特性,从而改善了整个体系的性能。

方法

在本研究工作中,采用一种特殊方法合成了介孔二氧化硅纳米粒子(MSN)、氨基功能化MSN和共价有机框架(COF)。在这项工作中,为了利用多孔纳米材料和COF生长的MSN多孔纳米复合材料的特性,通过一种特殊方法并采用两种途径合成了COF生长的MSN,并用BET分析对纳米复合材料和合成的纳米材料的孔隙率进行了分析。

结果

通过XRD、TGA、EDS、FT-IR、FE-SEM、TEM和Zeta电位分析证实了产物的合成。随后,使用这些纳米材料作为无机/有机杂化吸附剂去除重金属锌和镉,并在这些纳米吸附剂中考察了各种吸附性能。

结论

从这些杂化纳米吸附剂中去除重金属特别有效。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验